Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya Algorithm
Currently, there is a growing demand for the use of communication network bandwidth for the Internet of Things (IoT) within the cyber-physical-social system (CPSS), while needing progressively more powerful technologies for using scarce spectrum resources. Then, cognitive radio networks (CRNs) as on...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/18/11/3649 |
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| author | Xiong Luo Zhijie He Zhigang Zhao Long Wang Weiping Wang Huansheng Ning Jenq-Haur Wang Wenbing Zhao Jun Zhang |
| author_facet | Xiong Luo Zhijie He Zhigang Zhao Long Wang Weiping Wang Huansheng Ning Jenq-Haur Wang Wenbing Zhao Jun Zhang |
| author_sort | Xiong Luo |
| collection | DOAJ |
| description | Currently, there is a growing demand for the use of communication network bandwidth for the Internet of Things (IoT) within the cyber-physical-social system (CPSS), while needing progressively more powerful technologies for using scarce spectrum resources. Then, cognitive radio networks (CRNs) as one of those important solutions mentioned above, are used to achieve IoT effectively. Generally, dynamic resource allocation plays a crucial role in the design of CRN-aided IoT systems. Aiming at this issue, orthogonal frequency division multiplexing (OFDM) has been identified as one of the successful technologies, which works with a multi-carrier parallel radio transmission strategy. In this article, through the use of swarm intelligence paradigm, a solution approach is accordingly proposed by employing an efficient Jaya algorithm, called PA-Jaya, to deal with the power allocation problem in cognitive OFDM radio networks for IoT. Because of the algorithm-specific parameter-free feature in the proposed PA-Jaya algorithm, a satisfactory computational performance could be achieved in the handling of this problem. For this optimization problem with some constraints, the simulation results show that compared with some popular algorithms, the efficiency of spectrum utilization could be further improved by using PA-Jaya algorithm with faster convergence speed, while maximizing the total transmission rate. |
| first_indexed | 2024-04-11T22:13:52Z |
| format | Article |
| id | doaj.art-a9f403652a194c2ea56e2fad006ea458 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:13:52Z |
| publishDate | 2018-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-a9f403652a194c2ea56e2fad006ea4582022-12-22T04:00:28ZengMDPI AGSensors1424-82202018-10-011811364910.3390/s18113649s18113649Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya AlgorithmXiong Luo0Zhijie He1Zhigang Zhao2Long Wang3Weiping Wang4Huansheng Ning5Jenq-Haur Wang6Wenbing Zhao7Jun Zhang8School of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing 100083, ChinaSchool of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing 100083, ChinaSchool of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing 100083, ChinaSchool of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing 100083, ChinaSchool of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing 100083, ChinaSchool of Computer and Communication Engineering, University of Science and Technology Beijing (USTB), Beijing 100083, ChinaDepartment of Computer Science and Information Engineering, National Taipei University of Technology, Taipei 10608, TaiwanDepartment of Electrical Engineering and Computer Science, Cleveland State University, Cleveland, OH 44115, USAScience and Technology Division, North China Institute of Science and Technology, Beijing 101601, ChinaCurrently, there is a growing demand for the use of communication network bandwidth for the Internet of Things (IoT) within the cyber-physical-social system (CPSS), while needing progressively more powerful technologies for using scarce spectrum resources. Then, cognitive radio networks (CRNs) as one of those important solutions mentioned above, are used to achieve IoT effectively. Generally, dynamic resource allocation plays a crucial role in the design of CRN-aided IoT systems. Aiming at this issue, orthogonal frequency division multiplexing (OFDM) has been identified as one of the successful technologies, which works with a multi-carrier parallel radio transmission strategy. In this article, through the use of swarm intelligence paradigm, a solution approach is accordingly proposed by employing an efficient Jaya algorithm, called PA-Jaya, to deal with the power allocation problem in cognitive OFDM radio networks for IoT. Because of the algorithm-specific parameter-free feature in the proposed PA-Jaya algorithm, a satisfactory computational performance could be achieved in the handling of this problem. For this optimization problem with some constraints, the simulation results show that compared with some popular algorithms, the efficiency of spectrum utilization could be further improved by using PA-Jaya algorithm with faster convergence speed, while maximizing the total transmission rate.https://www.mdpi.com/1424-8220/18/11/3649cognitive radio networks (CRNs)orthogonal frequency division multiplexing (OFDM)resource allocationInternet of Things (IoT)Jaya algorithm |
| spellingShingle | Xiong Luo Zhijie He Zhigang Zhao Long Wang Weiping Wang Huansheng Ning Jenq-Haur Wang Wenbing Zhao Jun Zhang Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya Algorithm Sensors cognitive radio networks (CRNs) orthogonal frequency division multiplexing (OFDM) resource allocation Internet of Things (IoT) Jaya algorithm |
| title | Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya Algorithm |
| title_full | Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya Algorithm |
| title_fullStr | Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya Algorithm |
| title_full_unstemmed | Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya Algorithm |
| title_short | Resource Allocation in the Cognitive Radio Network-Aided Internet of Things for the Cyber-Physical-Social System: An Efficient Jaya Algorithm |
| title_sort | resource allocation in the cognitive radio network aided internet of things for the cyber physical social system an efficient jaya algorithm |
| topic | cognitive radio networks (CRNs) orthogonal frequency division multiplexing (OFDM) resource allocation Internet of Things (IoT) Jaya algorithm |
| url | https://www.mdpi.com/1424-8220/18/11/3649 |
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